AI, Data Science, Robotics – Quang Duong

Hardware-Efficient Attention for Accelerated LLM Decoding

GTA and GLA for Scalable, Low-Latency Language Model Inference

Hume: Integrating System-2 Thinking into Vision-Language-Action Robots

A Dual-System Model for Expert Robot Control and Robust Recovery

Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration

A multi-agent approach for scalable knowledge integration surpassing LLM context window limits

Who Reasons in the Large Language Models?

Probing Reasoning Localization in Transformer Architectures with Diagnostic Tools

Hardware-Efficient Attention for Fast Decoding

Optimizing Latency and Throughput in LLM Decoding with GTA & GLA

Large Language Models Miss the Multi-Agent Mark

Why Current MAS LLMs Research Falls Short of Classical Multi-Agent Systems Principles

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models

Combining Large Language Models and Food Knowledge Graphs for Personalized Food Recommendation and Recipe Generation

Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI

How different LLMs conceptualize sustainability and the implications for AI-driven decision-making

Think Only When You Need with Large Hybrid-Reasoning Models

Adaptive Hybrid-Reasoning in Large Language Models for Efficient Problem Solving